Manager of Data Science

Location: Richmond, Virginia
Date Posted: 02-06-2018
Role: Manager of Data Science
Location: Richmond, VA
Key Responsibilities:
  • Provide ongoing mentoring, coaching, development, and prioritization and allocation of resources for staff while collaborating with Sr. and Principal Research Scientists and other department management to maintain staff focus on strategic direction.
  • Work with other senior Research staff to develop a data science agenda consisting of projects that leverage big data assets and which may benefit from machine-learning or other data science techniques.
  • Coordinate with data scientist/analytics administrator to ensure coverage for day-to-day operational needs relating to department-wide analytical platform usage (e.g., troubleshooting, system upgrades).
  • Develop and apply advanced analytical and statistical techniques to derive insights and information from any dataset, in particular very large datasets where traditional statistical methods may break down.
  • Serve as analytical lead (including all aspects of design, direction and execution) for projects involving big data assets that require the use of advanced statistical methods, predictive analytics, or machine-learning methods.  Collaborate with other senior research staff who may oversee study design and provide general project guidance. 
  • Be able to work with a high degree of independence. 
  • Be able to develop significant business domain knowledge (healthcare, ideally transplantation).
  • Advise research staff on execution of statistical analysis on very large datasets.
  • Extract, integrate, and interpret data from different platforms and data sources to meet the needs of various UNOS projects.
  • Identify coding and file storage best practices and regularly disseminate to others in Research.
  • Serve as a Department advanced analytics and visualization software technology expert
  • Assist research staff in the preparation of analytic results in the form of both data and written reports, manuscripts, and visualizations for professional meetings, system integration and broad public consumption.
  • Design, deploy, and maintain systems of automation.
  • Serve as statistical programming language subject matter expert.
  • Continually assess the market to identify new technical opportunities and provide recommendations for software (e.g., R packages) and system solutions to address current and future project needs.
 
Minimum Requirements:
  • 4+ years of experience in data science, data analysis, computer programming, or healthcare
Critical Skills
  • Demonstrated project leadership experience.
  • Demonstrated personnel management experience preferred.
  • Demonstrated experience with SAS, SQL, R, or Python for data analysis programming experience required.  Advanced SAS, SQL, R, or Python for data analysis skills preferred.
  • Demonstrated proficiency in developing automated processes. 
  • Demonstrated experience programming with large databases.  Experience with very large (terabytes) databases and medical databases is preferred.
  • Extensive experience in programmatic analysis of sophisticated medical data systems, data analysis and report generation.
  • PC proficiency including expert use of Microsoft applications (Word, Excel, Access and PowerPoint) is required.
  • Superb written and oral English-language communication skills, the ability to meet deadlines in a fast-paced, multitasking environment, the ability to work independently and as part of a team are required.
  • Additional Skills & Qualifications
  • Competency with statistical methods and analysis. Advanced machine learning and statistical computing skills preferred.
  • Advanced Visual Basic/VBA automation preferred.
  • Experience with Hadoop environment, Java, Map-Reduce, Spark, Hive, Pig, Storm a plus.
  • Ability to assimilate and disseminate new software tools and programming techniques.
  • Strong demonstrated desire to learn and share new data science skills and techniques.
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